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28 pages, 24331 KiB  
Article
A Holistic Approach for Coastal–Watershed Management on Tourist Islands: A Case Study from Petra–Molyvos Coast, Lesvos Island (Greece)
by Stamatia Papasarafianou, Ilias Siarkos, Aliki Gkaifyllia, Stavros Sahtouris, Giada Varra, Antonis Chatzipavlis, Thomas Hasiotis and Ourania Tzoraki
Geosciences 2024, 14(12), 326; https://doi.org/10.3390/geosciences14120326 - 2 Dec 2024
Viewed by 897
Abstract
Shoreline configurations are a complex outcome of the dynamic interplay between natural forces and human actions. This interaction shapes unique coastal morphologies and affects sediment transport and erosion patterns along the coastline. Meanwhile, ephemeral river systems play a vital role in shaping coastlines [...] Read more.
Shoreline configurations are a complex outcome of the dynamic interplay between natural forces and human actions. This interaction shapes unique coastal morphologies and affects sediment transport and erosion patterns along the coastline. Meanwhile, ephemeral river systems play a vital role in shaping coastlines and maintaining ecosystem sustainability, especially in island settings. In this context, the present study seeks to develop a holistic approach that views coast and watershed systems as a continuum, aiming to investigate their relationships in an island environment, while accounting for human interventions in the river regime. For this task, the empirical USLE method was employed to quantify sediment production and transport from the catchment area to the coast, while hydraulic simulations using HEC-RAS were conducted to assess sediment retention within flood-affected areas. Moreover, coastal vulnerability to erosion was evaluated by applying the InVEST CVI model in order to identify areas at risk from environmental threats. The coastal zone of Petra–Molyvos, Lesvos, Greece, was selected as the study area due to ongoing erosion issues, with particular emphasis on its interaction with the Petra stream as a result of significant human intervention at its mouth. According to the study’s findings, the examined coastal zone is highly vulnerable to combined erosion from wind and waves, while the river’s mouth receives only a small amount of sediment from water fluxes. Evidently, this leads to an increase in beach retreat phenomena, while highlighting the necessity for integrated coastal–watershed management. Full article
(This article belongs to the Section Hydrogeology)
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<p>(<b>a</b>) A location map of Lesvos Island, Greece, and Petra–Molyvos beach, (<b>b</b>) the coastal area, referred to as the “Vulnerability area”, where the vulnerability assessment was conducted (including topographic details), along with the main streams interacting with the coast, the mouths of the most significant streams such as Molyvos, Petra, and Anaxos rivers, and the boundaries of the Petra hydrological basin, which was included in the study analysis, and (<b>c</b>) topographic and hydrological details of the Petra basin, together with the area referred to as the “Flood Assessment Area”, where flood risk assessment was performed.</p>
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<p>(<b>a</b>) The geomorphology of the coast under study, along with the geological formations identified in the region, and (<b>b</b>) the types of land use observed throughout the broader area, referring to the year 2018 (112—discontinuous urban fabric, 131—mineral extraction sites, 142—sport and leisure facilities, 211—non-irrigated arable land, 223—olive groves, 231—pastures, 242—composite culture systems, 243—land principally occupied by agriculture, 312—coniferous forest, 321—natural grassland, 323—sclerophyllous vegetation, 324—transitional woodland/shrub, 523—sea and ocean).</p>
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<p>(<b>a</b>) The geological background of the Petra basin, and (<b>b</b>) the types of land use within the Petra basin, referring to the year 2018 (112—discontinuous urban fabric, 131—mineral extraction sites, 211—non-irrigated arable land, 223—olive groves, 242—composite culture systems, 243—land principally occupied by agriculture, 311—broad-leaved forest, 312—coniferous forest, 324—transitional woodland/shrub).</p>
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<p>Graphical representation of the methodological framework developed in the present study to investigate the interconnection among coastal vulnerability, sediment transport, and river flood risk.</p>
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<p>A Windrose depicting the primary wind directions in Petra–Molyvos and used to estimate wind exposure in the study area, during the period from 2017 to 2022.</p>
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<p>Map depiction of USLE factors for the Petra basin: (<b>a</b>) K-factor, (<b>b</b>) LS-factor, (<b>c</b>) C-factor, and (<b>d</b>) P-factor.</p>
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<p>The seven sub-basins and the three junctions (J1–J3) of the study area, along with the main tributaries (SB1–SB7), the “Flood Assessment Area” and the nine cross-sections located in its interior and considered in the hydraulic simulations.</p>
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<p>(<b>a</b>) The ranking evaluation of the first three parameters, i.e., Relief, Surge Potential, and Wind, of the coastal exposure index, (<b>b</b>) the ranking evaluation of the remaining parameters, i.e., Geomorphology, Habitats, Wave, alongside the Coastal Vulnerability estimated by the INVEST model considering all six parameters, and (<b>c</b>) Coastal Vulnerability also considering Sea Level Rise over a 10-year return period for the projected scenario RCP 8.5, compared to the previously estimated baseline scenario.</p>
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<p>Soil loss distribution for the Petra basin (the areal percentage of each soil erosion class is given in parentheses).</p>
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<p>Integrative water surface profile along the examined reach within the “Flood Assessment Area”, together with the plan view of water surface elevation at cross-sections XS-2, XS-7, and XS-8, for the three different flow profiles (5-year, 50-year, and 100-year return periods).</p>
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<p>Flood inundation maps for the three different recurrence intervals (5-year, 50-year, and 100-year return periods).</p>
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<p>Inundated areas in each type of land use (112—discontinuous urban fabric, 242—composite culture systems) for the three different recurrence intervals (5-year, 50-year, and 100-year return periods).</p>
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<p>Impact of natural and human factors on the coast–watershed system in the area of interest: (<b>a</b>) coastline morphology adjacent to the Petra river’s mouth in 2003 (Google Earth Image), (<b>b</b>) coastline morphology adjacent to the Petra river’s mouth both in 2003 and 2024 (Google Earth Image), clearly illustrating beach retreat over these years, (<b>c</b>) human interventions (i.e., bridge, channelization) in the riverbed, and (<b>d</b>) human interventions in the river’s mouth (Petra beach).</p>
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37 pages, 9617 KiB  
Review
The Importance of Measuring Soil Erosion by Water at the Field Scale: A Review
by Alessio Nicosia, Francesco Giuseppe Carollo, Costanza Di Stefano, Vincenzo Palmeri, Vincenzo Pampalone, Maria Angela Serio, Vincenzo Bagarello and Vito Ferro
Water 2024, 16(23), 3427; https://doi.org/10.3390/w16233427 - 28 Nov 2024
Viewed by 1083
Abstract
Water erosion is a significant global threat due to the high soil loss rate and all its consequent implications. Technologies to predict erosion are strongly related to measurements and vice versa. Measurements can simply provide empirical evidence of the erosion process and are [...] Read more.
Water erosion is a significant global threat due to the high soil loss rate and all its consequent implications. Technologies to predict erosion are strongly related to measurements and vice versa. Measurements can simply provide empirical evidence of the erosion process and are hard to extrapolate in time and space. Measurements were used to develop some erosion models, such as the Universal Soil Loss Equation (USLE), and also for their calibration and validation. Several measurement techniques are used to collect soil erosion data at different spatial and temporal scales, but they cannot be considered fully accurate in any experimental condition. Each technique exhibits advantages and disadvantages, so extensive knowledge of their feasibility, accuracy, and limitations is required to correctly plan experiments and use the performed measurements. In this paper, recent scientific developments on the measurement of rainfall erosivity, soil loss at the plot scale, and rill and gully erosion using close-range photogrammetry are presented. Further considerations are made on the quality of soil erosion measurements and the usefulness and importance of measuring plot soil loss. Our critical analysis highlighted that the techniques reported in the literature are a solid basis, which, however, should be developed to improve their range of applicability and data quality. Full article
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<p>View of a pin profiler (profilometer) (modified from Di Stefano et al. [<a href="#B35-water-16-03427" class="html-bibr">35</a>]).</p>
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<p>Example of 3D Digital Terrain Model (3D-DTM) of a plot area surveyed for measuring soil erosion (modified from Di Stefano et al. [<a href="#B38-water-16-03427" class="html-bibr">38</a>]).</p>
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<p>Views of sedimentation tanks used to collect soil loss from a plot.</p>
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<p>Scheme of the patented device proposed by Carollo et al. [<a href="#B97-water-16-03427" class="html-bibr">97</a>] (modified from Carollo et al. [<a href="#B97-water-16-03427" class="html-bibr">97</a>]).</p>
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<p>Experimental plots for measuring soil loss at the Sparacia experimental area.</p>
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<p>View of the two unit plots at the Sparacia experimental area.</p>
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<p>Scheme for integrating the concentration profile measured along the axial vertical of a tank.</p>
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<p>View of the sampler (<b>a</b>) and scheme of the partition of the cross-section in nine sampling areas (<b>b</b>,<b>c</b>) proposed by Carollo et al. [<a href="#B146-water-16-03427" class="html-bibr">146</a>] (modified from Carollo et al. [<a href="#B146-water-16-03427" class="html-bibr">146</a>]).</p>
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<p>Predicted vs. measured soil losses for the physical model of soil erosion as represented by pairs of replicated plots according to Nearing [<a href="#B161-water-16-03427" class="html-bibr">161</a>] (<b>a</b>), Bagarello and Ferro [<a href="#B162-water-16-03427" class="html-bibr">162</a>] (<b>b</b>), and Bagarello et al. [<a href="#B142-water-16-03427" class="html-bibr">142</a>] (<b>c</b>).</p>
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<p>Relative differences in measurements of soil loss between replicated plots, <span class="html-italic">R<sub>diff</sub></span>, vs. the measured soil loss value <span class="html-italic">M</span> according to Bagarello and Ferro [<a href="#B162-water-16-03427" class="html-bibr">162</a>] (<b>a</b>) and Bagarello et al. [<a href="#B142-water-16-03427" class="html-bibr">142</a>] (<b>b</b>). The continuous lines in (<b>a</b>) define the 95% occurrence intervals for the data calculated by Equations (5a) and (5b).</p>
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<p>Absolute differences in measured soil loss between replicated plots, <span class="html-italic">abs</span> (<span class="html-italic">P<sub>r</sub></span>-<span class="html-italic">M</span>), plotted against the measured values <span class="html-italic">M</span> for the Italian database (modified from Bagarello et al. [<a href="#B142-water-16-03427" class="html-bibr">142</a>]).</p>
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<p>Plot of the three regions of the (<span class="html-italic">M</span>, <span class="html-italic">P<sub>r</sub></span>) reference plane for comparing the selectivity of the original criterion [<a href="#B119-water-16-03427" class="html-bibr">119</a>] and the new one [<a href="#B142-water-16-03427" class="html-bibr">142</a>] (modified from Bagarello et al. [<a href="#B164-water-16-03427" class="html-bibr">164</a>]).</p>
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<p>Plot of the absolute difference in measurement of soil loss between replicated plots, <span class="html-italic">abs</span> (<span class="html-italic">P<sub>r</sub></span>-<span class="html-italic">M</span>), vs. the measured values, <span class="html-italic">M</span>. The continuous line is the regression line of Equation (6). The dashed line is the regression line associated with a frequency <span class="html-italic">F</span> = 0.87. The dotted line is the data-enveloping line (modified from Bagarello et al. [<a href="#B164-water-16-03427" class="html-bibr">164</a>]).</p>
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<p>Example of ten rill spatial variability and formation (<b>a</b>) and view of a micro-topographic profiler (<b>b</b>) (modified from [<a href="#B28-water-16-03427" class="html-bibr">28</a>]).</p>
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<p>Comparison between the digitized and photographed rill cross-sections obtained from the gypsum cast (modified from Di Stefano et al. [<a href="#B34-water-16-03427" class="html-bibr">34</a>]).</p>
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<p>View of a radio-controlled microdrone (<b>a</b>), and an example of a flight plan (<b>b</b>) (modified from Carollo et al. [<a href="#B31-water-16-03427" class="html-bibr">31</a>]).</p>
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<p>Comparison between the maps of rills extracted by the drop analysis (<b>a</b>) and the manual method (<b>b</b>), and total rill length (<b>c</b>) and volume (<b>d</b>) obtained by the different tested methods by Carollo et al. [<a href="#B31-water-16-03427" class="html-bibr">31</a>] (modified from Carollo et al. [<a href="#B31-water-16-03427" class="html-bibr">31</a>]).</p>
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<p>View of point gauges for the measurement of water depth in a rill (modified from Di Stefano et al. [<a href="#B38-water-16-03427" class="html-bibr">38</a>]).</p>
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<p>Survey of the water tracks inside the channel to measure water depth in rills (<b>a</b>) and the digital output of the measuring technique (<b>b</b>) (modified from Di Stefano et al. [<a href="#B38-water-16-03427" class="html-bibr">38</a>]).</p>
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<p>Relationship between the EG length <span class="html-italic">L<sub>c</sub></span> (measured from the first upstream section to a given measurement section) and the corresponding volume <span class="html-italic">V</span> (<b>a</b>) and <span class="html-italic">L<sub>c</sub></span>-<span class="html-italic">V</span> pairs obtained by Di Stefano et al. [<a href="#B35-water-16-03427" class="html-bibr">35</a>] and Di Stefano et al. [<a href="#B169-water-16-03427" class="html-bibr">169</a>] (<b>b</b>) (modified from Di Stefano et al. [<a href="#B35-water-16-03427" class="html-bibr">35</a>]).</p>
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13 pages, 1065 KiB  
Study Protocol
Efficacy and Safety of Useul for Dry Eye Disease: Protocol for a Randomized, Double-Blind, Placebo-Controlled, Parallel, Phase 2 Clinical Trial
by Yee-Ran Lyu, O-Jin Kwon, Bongkyun Park, Hyun-A Jung, Ga-Young Lee and Chan-Sik Kim
Healthcare 2024, 12(23), 2383; https://doi.org/10.3390/healthcare12232383 - 27 Nov 2024
Viewed by 513
Abstract
Introduction: Dry eye disease (DED) is a very frequently encountered ocular disease, making it a growing public health burden. However, current treatments for DED present unmet medical needs owing to their side effects or ineffectiveness. Therefore, an effective and safe therapeutic agent to [...] Read more.
Introduction: Dry eye disease (DED) is a very frequently encountered ocular disease, making it a growing public health burden. However, current treatments for DED present unmet medical needs owing to their side effects or ineffectiveness. Therefore, an effective and safe therapeutic agent to manage DED is needed. Method and Analysis: We planned a phase 2, dose-finding, double-blind, randomized placebo-controlled trial to evaluate the efficacy and safety of two different doses of USL (Useul), the extract of Achyranthis Radix, compared with placebo, for DED. USL has been found to protect against DED by inducing tear secretion and improving corneal irregularity via anti-inflammatory effects, which will provide new therapeutic options. One hundred and twenty participants will be enrolled, after assessing the inclusion/exclusion criteria, at Daejeon University Daejeon Korean Medicine Hospital. Enrolled participants will be allocated to standard-dose USL, high-dose USL, or placebo groups in a 1:1:1 ratio and will be required to administer the trial medication twice a day for 12 weeks and visit the clinic five times. For efficacy outcomes, objective endpoints of fluorescein corneal staining score, tear break-up time, Schirmer’s test, and meibomian test and subjective endpoints of Ocular Surface Disease Index, visual analog scale, Standard Patient Evaluation for Eye Dryness-II, and biomarkers will be assessed throughout the trial. Safety will be assessed based on adverse events, vital signs, laboratory tests, visual acuity, and intraocular pressure. Discussion: Our study results are expected to provide clinical evidence for the use of DED as an effective and safe agent for DED. Full article
(This article belongs to the Special Issue Eye Care and Vision Health Beyond 20/20)
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<p>Flowchart of the trial process.</p>
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15 pages, 3218 KiB  
Article
Relationship Between Ultrasound Diagnosis, Symptoms and Pain Scale Score on Examination in Patients with Uterosacral Ligament Endometriosis
by Shae Maple, Eva Bezak, K. Jane Chalmers and Nayana Parange
J. Clin. Med. 2024, 13(22), 6901; https://doi.org/10.3390/jcm13226901 - 16 Nov 2024
Viewed by 627
Abstract
Background/Objectives: This study investigated patient pain descriptors for transvaginal ultrasound (TVS) diagnostic evaluation of endometriosis for uterosacral ligaments (USLs), including correlation between USL thickness and site-specific tenderness (SST). It further investigated if SST could positively assist diagnosing endometriosis on TVS. Methods: TVS images [...] Read more.
Background/Objectives: This study investigated patient pain descriptors for transvaginal ultrasound (TVS) diagnostic evaluation of endometriosis for uterosacral ligaments (USLs), including correlation between USL thickness and site-specific tenderness (SST). It further investigated if SST could positively assist diagnosing endometriosis on TVS. Methods: TVS images and SST pain descriptors were collected from 42 patients. SST was evaluated by applying sonopalpation during TVS. The images were presented to six observers for diagnosis based on established USL criteria. Following this, they were given the SST pain scores and asked to reevaluate their diagnosis to assess if the pain scores impacted their decision. Results: An independent t-test showed that the patients with an endometriosis history had higher pain scores overall (7.2 ± 0.59) compared to the patients with no history (0.34 ± 0.12), t (40) = 8.8673. Spearman’s correlation showed a strong correlation to the pain scale score for clinical symptoms (r = 0.74), endometriosis diagnosis (r = 0.78), USL thickness (r = 0.74), and when USL nodules were identified (r = 0.70). Paired t-tests showed that the observers demonstrated a higher ability to correctly identify endometriosis with the pain scale information (33 ± 8.83) as opposed to not having this information (29.67 ± 6.31), which was a statistically significant change of 3.33, t (5) = 2.7735. Conclusions: Patients with an endometriosis history have significantly higher pain scores on TVS compared to patients with no endometriosis history. A strong correlation was shown between SST pain scores and patient symptoms, USL thickness, and USL nodules. Inclusion of SST alongside TVS imaging shows promise, with these results demonstrating a higher ability to diagnose endometriosis with additional SST pain scale information. Full article
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<p>Flowchart summarizing the methodology process and the inclusion criteria of eligible patients and observers in the study. TVS, transvaginal ultrasound, DE, Deep Endometriosis, IDEA, International Deep Endometriosis Analysis, SST, site-specific tenderness.</p>
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<p>Whisker plots demonstrating the Spearman’s correlation coefficient results for endometriosis characteristics versus pain scale. These graphs show the spread of endometriosis characteristics with patient SST pain scores on TVS (where X = mean score) with statistical significance (where all <span class="html-italic">p</span> &lt; 0.0005), as represented in <a href="#jcm-13-06901-t003" class="html-table">Table 3</a>. (<b>A</b>) Correlation of endometriosis diagnosis (surgically or clinically by referring gynecologist) and pain; (<b>B</b>) correlation of patient clinical symptoms (chronic pelvic pain, dysmenorrhea, and dyspareunia) and pain; (<b>C</b>) correlation of USL thickness and pain; and (<b>D</b>) correlation of USL nodules (endometriosis identified including a focal USL nodule and endometriosis identified with no USL nodule seen) and pain.</p>
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<p>Graph representation of relationship of diagnostic scores of professional observers before and after using pain scale across the six observers, as shown in <a href="#jcm-13-06901-t004" class="html-table">Table 4</a>.</p>
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<p>Ultrasound images correlating patient TVS and SST. (<b>A</b>) Endometriomas/medialized ovaries to USLs: Transverse TVS image shows there are bilateral endometriomas and medialization of both ovaries adherent to the USLs (right and left as labeled) at the torus uterinus. A focal endometriotic nodule (arrows) can be seen between the right and left USLs. This patient has confirmed endometriosis associated with long-standing pelvic pain. Correlating SST at this location was described as “sharp” with a total 13/15 pain score. (<b>B</b>) Thickened USL and nodule: USL DE in a woman with severe pelvic pain and dyspareunia who was confirmed to have extensive endometriosis in laparoscopy. Sagittal TVS image shows an irregular and thickened left USL (labeled with caliper measuring 6.5 mm) with adherence of the left ovary (labeled). There is an associated focal endometriotic nodule (arrows) adherent to the adjacent structures. Calipers demonstrate a 6.5 mm thickness of the left USL measured at the thickest point. Correlating SST at this location was described as “sharp” with a total 12/15 pain score. (<b>C</b>) Rectosigmoid DE adherent to USL: Sagittal TVS image demonstrating extensive deep infiltrative endometriosis. Endometriosis plaque deposits (circled) can be seen at the level of the rectosigmoid bowel, tethered to the inferior margin of the left ovary (labeled). The left ovary is medialized, with an endometrioma adherent to the torus uterinus, extending to the right USL. Correlating SST at this location was described as “sharp” with a total 10/15 pain score.</p>
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14 pages, 6764 KiB  
Article
Thermal Analysis of Acousto-Optic Modulators and Its Influence on Ultra-Stable Lasers
by Pengyang Zhao, Fanchao Meng, Junyang Xiong, Jianjun Jia, Lingqiang Meng and Hongxing Qi
Photonics 2024, 11(11), 1077; https://doi.org/10.3390/photonics11111077 - 15 Nov 2024
Viewed by 544
Abstract
Acousto-optic modulators (AOMs) have been widely used in ultra-stable lasers (USLs) for optimizing its performances. A thermal theoretical model of the AOM, which is made by TeO2, was established. Based on the model, the temperature coefficients of the diffraction angle and [...] Read more.
Acousto-optic modulators (AOMs) have been widely used in ultra-stable lasers (USLs) for optimizing its performances. A thermal theoretical model of the AOM, which is made by TeO2, was established. Based on the model, the temperature coefficients of the diffraction angle and efficiency were calculated to be 4.051 μrad/°C and 0.018%/°C. The influences of thermal effects of the AOM on USLs’ cavity coupling and frequency stability were firstly studied. A 1 °C temperature change in the AOM results in a 0.31 Hz frequency fluctuation of the laser within the USL cavity. Simulation and experimental results indicate that, to achieve USLs’ optimal performance, thermal effects of AOMs within the system must be addressed and managed. Full article
(This article belongs to the Section Lasers, Light Sources and Sensors)
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<p>Schematic diagram of AOM working principle. The red arrows in the diagram show the path of propagation of light and the blue arrows show the path of propagation of sound waves.</p>
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<p>Simulation of crystal temperature versus diffraction angle.</p>
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<p>Simulation of crystal temperature versus diffraction efficiency.</p>
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<p>AOM temperature variation versus mode intensity in FP cavity.</p>
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<p>(<b>a</b>) Photo of AOM temperature control implementation, (<b>b</b>) thermal imaging camera images of AOM.</p>
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<p>(<b>a</b>) AOM temperature of different incident laser power, (<b>b</b>) three sets of temperature variation curves.</p>
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<p>(<b>a</b>) Schematic of single diffraction, (<b>b</b>) diffracted spot position versus temperature change.</p>
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<p>(<b>a</b>) Schematic of double-pass diffraction, (<b>b</b>) comparison of single-pass and double-pass diffraction beam position during AOM start-up.</p>
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<p>Schematic of USL beat frequency test optical path. The red dashed box indicates two ultra-stable laser systems, the blue dashed box indicates the beat frequency optical path, and the red line indicates the beam path.</p>
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<p>Direct effect of AOM temperature on laser frequency outside of USLs: (<b>a</b>) frequency in case of temperature change, (<b>b</b>) first-order derivatives of frequencies for temperature variations.</p>
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<p>Effect of power fluctuations on frequency in USL systems. The black curve represents the beat frequency signal, and the red arrow indicates where the incoming power changes.</p>
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18 pages, 1660 KiB  
Article
Evaluating the Soil Properties of Different Land Use Types in the Deviskel Watershed in the Hilly Region of Northeast Türkiye
by Esin Erdoğan Yüksel and Gökhan Yavuz
Sustainability 2024, 16(22), 9732; https://doi.org/10.3390/su16229732 - 8 Nov 2024
Viewed by 762
Abstract
Land use is a remarkable human-induced change that has redesigned the Earth’s surface since the beginning of civilization. Due to the combination of rugged terrain and low-income levels in rural areas, people in watershed regions often resort to overexploiting forests, agricultural land, and [...] Read more.
Land use is a remarkable human-induced change that has redesigned the Earth’s surface since the beginning of civilization. Due to the combination of rugged terrain and low-income levels in rural areas, people in watershed regions often resort to overexploiting forests, agricultural land, and grasslands beyond their capacity. As a result of these spatio-temporal changes in land use, various soil properties undergo changes. This study aims to determine the changes in some physical (texture, bulk weight, particle density, total porosity), hydro-physical (water holding capacity, permeability, field capacity, wilting point), physico-chemical (organic matter, pH, electrical conductivity), and erodibility (dispersion ratio, colloid–moisture equivalent ratio, erosion ratio, clay ratio, aggregate stability and K-factor of Universal Soil Loss Equation-USLE) properties of soil depending on land use in the Deviskel Watershed in the city of Artvin in Türkiye. For this purpose, disturbed (composite) and undisturbed (cylinder) soil samples were taken from a 0 to 20 cm depth at 108 different points in the determined areas (36 from forests, 36 from agricultural areas, and 36 from grassland areas). It was determined that 15 of the 19 soil properties examined showed statistical differences depending on the change in land use. All the examined soil properties, except for clay content, particle density, dispersion ratio, and aggregate stability, were found to be statistically significantly affected by the change in land use, and the reasons behind these changes were discussed. The particle density had the lowest coefficient of variation value (15.26%) while electrical conductivity had the highest coefficient of variation value (91.25%). According to erosion tendencies, all watershed soils were found to be susceptible to erosion. The average aggregate stability was 88.52% in forest soils, 84.84% in agricultural soils, and 85.48% in grassland soils. The average USLE-K factor was determined to be 0.22 for forests, while it was determined to be 0.17 and 0.18 for agriculture and grassland areas, respectively. According to the USLE-K factor, 68.37% of the watershed was dominated by moderately erodible soils, while 31.63% consisted of highly erodible soils. Based on the colloid–moisture equivalent ratio, erosion ratio, and clay ratio, which are statistically different erodibility features, the grassland soils of the research area were found to be more susceptible to erosion than forest and agricultural soils. In terms of aggregate stability, which indicates resistance to water erosion, forest areas had higher values, while agricultural lands were more prone to erosion. Full article
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<p>Location of Deviskel Watershed.</p>
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<p>The land use map and soil sampling points of the Deviskel Watershed.</p>
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<p>Erodibility map of the study area.</p>
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<p>Distribution of the range of K-factors grouped in percentages.</p>
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20 pages, 1147 KiB  
Data Descriptor
Dataset on the Validation and Standardization of the Questionnaire for the Self-Assessment of Service-Learning Experiences in Higher Education (QaSLu)
by Roberto Sánchez-Cabrero, Elena López-de-Arana Prado, Pilar Aramburuzabala and Rosario Cerrillo
Data 2024, 9(9), 108; https://doi.org/10.3390/data9090108 - 19 Sep 2024
Viewed by 898
Abstract
This dataset shows the original validation and standardization of the Questionnaire for the Self-Assessment of Service-Learning Experiences in Higher Education (QaSLu). The QaSLu is the first instrument to measure university service-learning (USL), validated following a strict qualitative and quantitative process by a sample [...] Read more.
This dataset shows the original validation and standardization of the Questionnaire for the Self-Assessment of Service-Learning Experiences in Higher Education (QaSLu). The QaSLu is the first instrument to measure university service-learning (USL), validated following a strict qualitative and quantitative process by a sample of experts in USL and generating rating scales for different profiles of professors. The Delphi method was used for the qualitative validation by 16 academic experts, who evaluated the relevance and clarity of the items. After two consultation rounds, 45 items were qualitatively validated, generating the QaSLu-45. Then, 118 instructors from 43 universities took part as the sample in the quantitative validation procedure. Quantitative validation was carried out through goodness-of-fit measures using confirmatory factor analysis and the final configuration optimized using one-factor robust exploratory factor analysis, determining the most optimal version of the questionnaire under the law of parsimony, the QaSLu-27, with only 27 items and better psychometric properties. Finally, rating scales were calculated to compare different profiles of USL professors. These findings offer a valid, strong, and trustworthy instrument. The QaSLu-27 may be helpful for the design of USL experiences, in addition to facilitating the assessment of such programs to enhance teaching and learning processes. Full article
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<p>Population pyramid. Extracted from Lopez-de-Arana Prado et al. (2024) [<a href="#B17-data-09-00108" class="html-bibr">17</a>].</p>
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<p>Distribution of the participant sample according to experience in SL in higher education and gender. Extracted from Lopez-de-Arana Prado et al. (2024) [<a href="#B17-data-09-00108" class="html-bibr">17</a>].</p>
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<p>Distribution of the participant sample according to academic studies by intervention on which the USL service is based.</p>
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<p>Distribution of the participant sample according to the type of the collaborating institution or organization by recipients of the service activity in USL.</p>
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<p>Distribution of the participant sample according to type of the collaborating institution or organization by online or face-to-face USL.</p>
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14 pages, 2151 KiB  
Article
Small Fiber Neuropathy Associated with Post-COVID-19 and Post-COVID-19 Vaccination Arthritis: A Rare Post-Infective Syndrome or a New-Onset Disease?
by Francesca Bandinelli, Romina Nassini, Eleonora Gherardi, Barbara Chiocchetti, Mirko Manetti, Massimo Cincotta, Filippo Nozzoli, Elena Nucci, Francesco De Logu and Nicola Pimpinelli
J. Pers. Med. 2024, 14(8), 789; https://doi.org/10.3390/jpm14080789 - 25 Jul 2024
Viewed by 1861
Abstract
Post-COVID-19 (PC) and post-COVID-19 vaccination (PCV) syndromes are considered emergent multidisciplinary disorders. PC/PCV small fiber neuropathy (SFN) was rarely described and its association with undifferentiated arthritis (UA) was never defined. We aimed to evaluate PC/PCV-UA associated with the recent onset of severe lower [...] Read more.
Post-COVID-19 (PC) and post-COVID-19 vaccination (PCV) syndromes are considered emergent multidisciplinary disorders. PC/PCV small fiber neuropathy (SFN) was rarely described and its association with undifferentiated arthritis (UA) was never defined. We aimed to evaluate PC/PCV-UA associated with the recent onset of severe lower limb paresthesia, compare SFN positive (+) to negative (−) patients, and evaluate changes in biomarkers in SFN+ during treatments. Nineteen PC/PCV-UA-patients with possible SFN underwent skin biopsy at the Usl Tuscany Center (Florence) early arthritis outpatient clinic from September 2021 to March 2024. Eight selected SFN+ were compared to ten SFN− patients. In SFN+ patients, baseline joint ultrasound (US), electromyography (EMG), optical coherence tomography (OCT), and skin biopsy were repeated at six months. Moreover, SFN+ patients were clinically assessed by a 0–10 numeric rating scale for neurological symptoms and DAS28/ESR up to 12 months follow-up. SFN+ patients showed a lower intraepidermal nerve fiber density at histopathological examination of skin biopsies and a higher frequency of OCT and EMG abnormalities in comparison to SFN− patients. In SFN+ patients, US and DAS28/ESR significantly improved, while intraepidermal nerve fiber density did not significantly change at the six-month follow-up. Fatigue, motor impairment, burning pain, brain fog, and sensitivity disorders decreased at long-term follow-up (12 months). Full article
(This article belongs to the Section Personalized Therapy and Drug Delivery)
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<p>Study flow chart. Out of 23 patients with post-COVID-19 (PC) and post-COVID-19 vaccination (PCV)-associated undifferentiated arthritis (UA) with severe lower limb paresthesia, 19 underwent a first skin biopsy at baseline (T1). Seven patients resulted in small fiber neuropathy (SFN)-positive (+), while 12 were SFN-negative (−). Six SFN+ patients were confirmed and 2 SFN− patients became SFN+ at the second skin biopsy performed after six months (T2). The 8 SFN+ patients at the second skin biopsy were further followed up at 9 months (T3) and 12 months (T4) with both rheumatological and neurological examinations. DAS28/ESR, disease activity score in 28 joints calculated on erythrocyte sedimentation rate levels; EMG, electromyography; US, ultrasound; OCT, optical coherence tomography.</p>
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<p>Histological examination of distal leg skin biopsy sections. (<b>A</b>–<b>D</b>) Representative images of brightfield PGP9.5 immunostaining showing intraepidermal nerve fibers in SFN− (<b>A</b>) and SFN+ (<b>B</b>–<b>D</b>) patients. Images are representative of one SFN− patient (<b>A</b>) evolving into SFN+ at six-month follow-up (<b>B</b>), and one SFN+ patient at baseline (<b>C</b>) and at six-month follow-up (<b>D</b>). Scale bar: 50 µm. (<b>E</b>) Comparison of intraepidermal nerve fiber density (IENF/mm) between SFN− (<span class="html-italic">n</span> = 10) and SFN+ (<span class="html-italic">n</span> = 8) patients. SFN, small fiber neuropathy.</p>
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<p>Reduction in thickness (“red zone” of graphic) of peripapillary retinal nerve fiber layer (RNFL) in a patient with post-COVID19-associated small fiber neuropathy presenting visual fog symptoms in the inferior part of the retina (INF) of the left eye (LE) at ocular tomography (OCT), in comparison to superior (SUP), temporal (TEMP), and nasal (NAS) sections. The RNFL is overall lower than in the right normal eye (RE), as demonstrated also by extracted vertical tomography showing an excavation of optic nerve papilla.</p>
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18 pages, 5845 KiB  
Article
Ecosystem Services Supply from Peri-Urban Watersheds in Greece: Soil Conservation and Water Retention
by Stefanos Stefanidis, Nikolaos Proutsos, Vasileios Alexandridis and Giorgos Mallinis
Land 2024, 13(6), 765; https://doi.org/10.3390/land13060765 - 29 May 2024
Cited by 7 | Viewed by 1081
Abstract
The main objective of this study is to investigate the supply of ecosystem services (ESs) within peri-urban watersheds (PUWs) across Greece, utilizing earth observation (EO) data and empirical models. To achieve these goals, several open-access geospatial datasets were utilized and processed within a [...] Read more.
The main objective of this study is to investigate the supply of ecosystem services (ESs) within peri-urban watersheds (PUWs) across Greece, utilizing earth observation (EO) data and empirical models. To achieve these goals, several open-access geospatial datasets were utilized and processed within a GIS environment. Specifically, the supply of soil conservation and water retention services was assessed at the watershed scale. The results indicates that the supply soil conservation service withing the examined PUWs range from 44.41 t ha−1 y−1 to 441.33 t ha−1 y−1 with an average value of 161.99 t ha−1 y−1. Water retention services vary from 35.09 to 154.63 mm within the PUWs, with an average of 91.45 mm. Additionally, the variation in ES values across distinct altitudinal zones and ecosystem types provides useful insights for implementing protection and management measures. It is evident from the analysis that the soil conservation service gradually increases with elevation, with alpine and subalpine areas exhibiting the highest values. Moreover, mountainous and semi-mountainous regions demonstrate higher values compared to the estimated average soil conservation services of the entire study area. Furthermore, the provision of water retention services varies across different altitudinal zones. Specifically, the mountainous and semi-mountainous areas exhibit the highest values, followed by the subalpine and hilly regions, while lower values are observed in the lowland and alpine regions. The analysis also reveals distinct patterns in ecosystem services across various ecosystem types within the PUWs. Woodland and forest, along with heathland and shrubs, demonstrate higher values in terms of both soil conservation and water retention services. Our findings contribute to understanding the dynamics of ESs in PUWs, highlighting their significance for sustainable land management, and informing policy decisions aimed at preserving ecosystem health and resilience. Full article
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<p>Location map of the major Greek cities.</p>
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<p>The overall workflow of the methodology.</p>
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<p>Average and SD values of soil conservation service provided by PUWs upstream of Greek cities.</p>
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<p>Spatial distribution of soil conservation service in the examined PUWs of Greece.</p>
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<p>Average and SD values of the water retention service provided by PUWs upstream of Greek cities.</p>
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<p>Spatial distribution of water retention service in the examined PUWs of Greece.</p>
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<p>Average ES supply per altitudinal zone.</p>
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<p>Average ES supply per MAES category.</p>
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21 pages, 7642 KiB  
Article
Influence of Ultrafine Fly Ash and Slag Powder on Microstructure and Properties of Magnesium Potassium Phosphate Cement Paste
by Zheng Jia, Yuhui Zhang and Liwu Mo
Materials 2024, 17(11), 2556; https://doi.org/10.3390/ma17112556 - 25 May 2024
Cited by 1 | Viewed by 3039
Abstract
This study investigated the influences of ultrafine fly ash (UFA) and ultrafine slag powder (USL) on the compressive strengths, autogenous shrinkage, phase assemblage, and microstructure of magnesium potassium phosphate cement (MKPC). The findings indicate that the aluminosilicate fractions present in both ultrafine fly [...] Read more.
This study investigated the influences of ultrafine fly ash (UFA) and ultrafine slag powder (USL) on the compressive strengths, autogenous shrinkage, phase assemblage, and microstructure of magnesium potassium phosphate cement (MKPC). The findings indicate that the aluminosilicate fractions present in both ultrafine fly ash and ultrafine slag participate in the acid–base reaction of the MKPC system, resulting in a preferential formation of irregularly crystalline struvite-K incorporating Al and Si elements or amorphous aluminosilicate phosphate products. UFA addition mitigates early age autogenous shrinkage in MKPC-based materials, whereas USL exacerbates this shrinkage. In terms of the sustained mechanical strength development of the MKPC system, ultrafine fly ash is preferred over ultrafine slag powder. MKPC pastes with ultrafine fly ash show greater compressive strength compared to those with ultrafine slag powder at 180 days due to denser interfaces between the ultrafine fly ash particles and hydration products like struvite-K. The incorporation of 30 wt% ultrafine fly ash enhances compressive strengths across all testing ages. Full article
(This article belongs to the Special Issue Reaction Mechanism and Properties of Cement-Based Materials)
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<p>Particle size distributions of MgO, ultrafine fly ash, and ultrafine slag powder.</p>
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<p>Powder diffraction patterns for MKPC pastes at 28 days of curing: (<b>a</b>) mixed with ultrafine fly ash and (<b>b</b>) mixed with ultrafine slag powder. Pe: periclase, S: struvite-K, Q: quartz, M: mullite.</p>
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<p>TG/DSC curves for MKPC pastes with ultrafine fly ash or ultrafine slag powder (28 d). (<b>a</b>) TG curves and (<b>b</b>) DSC curves.</p>
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<p>Compressive strengths of the MKPC pastes containing different doses of (<b>a</b>) ultrafine fly ash and (<b>b</b>) ultrafine slag powder.</p>
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<p>Autogenous shrinkage of MKPC mortar mixed with ultrafine fly ash or ultrafine slag powder.</p>
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<p>Pore structure analysis plots of MKPC pastes with or without the addition of ultrafine fly ash/ultrafine slag powder: (<b>a</b>) porosity and (<b>b</b>) pore size distribution.</p>
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<p>SEM microscopy morphology of the control group at 28 d: (<b>a</b>) loosely agglomerated sheeted struvite-K crystals, (<b>b</b>) compact columnar struvite-K crystals, (<b>c</b>) irregularly shaped struvite-K. Note: “+” is the location of the DES scanning point.</p>
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<p>SEM images of MKPC pastes with and without ultrafine fly ash or ultrafine slag powder: (<b>a</b>) control, (<b>b</b>,<b>c</b>) UF30, (<b>d</b>) US40. Note: “+” is the location of the DES scanning point, and the white area is the significant accumulation area of struvite-K.</p>
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<p>BSE images of the control paste: (<b>a</b>) low magnification, (<b>b</b>) high magnification, and close observation of the white square-marked area in (<b>a</b>). Note: “+” is the position of the DES scanning point, and the white area is the enlarged observation area.</p>
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<p>BSE images of the MKPC with ultrafine slag powder: (<b>a</b>) paste morphology, (<b>b</b>) paste with higher magnification, and (<b>c</b>) backscatter surface scanning images and elemental maps. Note: “+” is the position of DES scanning point, and the white area is the interface area between USL and paste.</p>
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<p>BSE images of the MKPC paste with ultrafine fly ash: (<b>a</b>) UF30, (<b>b</b>) UF30 with higher magnification, and (<b>c</b>) backscatter surface scanning images and elemental maps of UF30. Note: “+” is the position of DES scanning point.</p>
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20 pages, 3540 KiB  
Article
Safety and Mobility Performance Comparison of Two-Plus-One and Two-Lane Two-Way Roads: A Simulation Study
by Usama Elrawy Shahdah, Fayez Alanazi, Abdelhalim Azam and Marwa Elbany
Appl. Sci. 2024, 14(11), 4352; https://doi.org/10.3390/app14114352 - 21 May 2024
Viewed by 738
Abstract
Two-plus-one (2+1) highways are a special configuration of two-lane two-way (TLTW) highways with a continuous center lane that is used to alternate passing lanes. The main objective of this paper is, therefore, to evaluate the suitability of the 2+1 design for Middle East [...] Read more.
Two-plus-one (2+1) highways are a special configuration of two-lane two-way (TLTW) highways with a continuous center lane that is used to alternate passing lanes. The main objective of this paper is, therefore, to evaluate the suitability of the 2+1 design for Middle East conditions as a replacement for traditional TLTW roads with higher traffic volumes or as an interim solution before transforming TLTW roads into four-lane highways. In our analysis, we considered both safety and mobility performances by comparing the 2+1 and TLTW designs. The new suggested 2+1 designs were evaluated, with the first design prohibiting overtaking in the opposite direction, while the second design permitted it. Additionally, two-speed-limit strategies, uniform speed limit (USL), and differential speed limit (DSL) were also evaluated. The results showed that the 2+1 design, which prohibited overtaking in the opposite direction, was superior to TLTW in terms of mobility and safety, while the other design compromised safety compared to TLTW. The results provide valuable information to policymakers, urban planners, and transport authorities to guide evidence-based decisions on the integration of the 2+1 design as a viable solution for sustainable and efficient transportation. Full article
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<p>Study framework.</p>
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<p>Traffic network: (<b>a</b>) convectional TLTW, (<b>b</b>) 2+1 (prohibited overtaking in opposite direction), and (<b>c</b>) 2+1 (allowed overtaking in opposite direction).</p>
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<p>Average network delay (second/vehicle) for uniform speed-limit scenarios: (<b>a</b>) speed limit = 50 km/h, (<b>b</b>) speed limit = 60 km/h, (<b>c</b>) speed limit = 70 km/h, (<b>d</b>) speed limit = 80 km/h, and (<b>e</b>) speed limit = 90 km/h.</p>
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<p>Average travel speed (km/h) for uniform speed-limit scenarios: (<b>a</b>) speed limit = 50 km/h, (<b>b</b>) speed limit = 60 km/h, (<b>c</b>) speed limit = 70 km/h, (<b>d</b>) speed limit = 80 km/h, and (<b>e</b>) speed limit = 90 km/h.</p>
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<p>Average network delay (second/vehicle) for differential speed-limit scenarios: (<b>a</b>) speed limit = 80 km/h for PCs and 60 km/h for HVs, (<b>b</b>) speed limit = 90 km/h for PCs and 60 km/h for HVs.</p>
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<p>Average travel speed (km/h) for differential speed-limit (DSL) scenarios: (<b>a</b>) speed limit = 80 km/h for PCs and 60 km/h for HVs, (<b>b</b>) speed limit = 90 km/h for PCs and 60 km/h for HVs.</p>
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20 pages, 16515 KiB  
Article
The Impact of High-Density Airborne Observations and Atmospheric Motion Vector Observation Assimilation on the Prediction of Rapid Intensification of Hurricane Matthew (2016)
by Xinyan Lyu and Xuguang Wang
Atmosphere 2024, 15(4), 395; https://doi.org/10.3390/atmos15040395 - 22 Mar 2024
Cited by 1 | Viewed by 964
Abstract
Tropical cyclone rapid intensification (RI) prediction still remains a big international challenge in numerical weather prediction. Hurricane Matthew (2016) underwent extreme and non-classic RI, intensifying from a Category 1 storm to a Category 5 hurricane within 24 h under a strong vertical shear [...] Read more.
Tropical cyclone rapid intensification (RI) prediction still remains a big international challenge in numerical weather prediction. Hurricane Matthew (2016) underwent extreme and non-classic RI, intensifying from a Category 1 storm to a Category 5 hurricane within 24 h under a strong vertical shear environment. However, most models failed to capture this RI, and limited or no inner core, and outflow observations were assimilated in the NWS operational HWRF Model before the onset of RI for Matthew (2016). The goals of the study are to (1) explore the best way to assimilate the High-Density Observations (HDOB, including FL and SFMR) and AMV data; (2) study the impact of assimilating these observations on the analysis of both the inner-core and outflow structures; and (3) examine the impact of assimilating these data on the prediction of RI for Matthew. The main results are as follows: (1) With proper pre-processing of the HDOB observations and by using a 4DEnVar method, the inner-core structure analysis was improved. And the RI prediction is more consistent with the best track without spin-down for the first 24 h. Assimilating CIMMS AMV observations on top of the HDOB observations further improves both the track and intensity forecasts. Specifically, both the magnitude and timing of the peak intensity are further improved. (2) Diagnostics are conducted to understand how the assimilation of these different types of observations impacts RI prediction. Without assimilating HODB and AMV data, baseline experimentover-predict the intensification rate during the first 18 h, but under-predict RI after 18 h. However, the assimilation of FL and SFMR and CIMMS AMV correctly weakens the upper-level outflow and improves the shear-relative structure of the inner-core vortex, such as reducing the low-level moisture in the downshear left quadrant. The deep convection on the downshear side is weaker than baseline for the first 18 h but keeps enhancing, later moving cyclonically to the USL quadrant, and then causes more subsidence warming, maximizing in the USL quadrant and the maximum wind increases faster. Moreover, the rapid intensification rate is much more consistent with the best track and the forecast skill of RI is improved. Therefore, 4DEnVar assimilation with proper pre-processing of the high-density observations can indeed correct the shear-relative moisture and structural distributions of both the inner core and environment for TCs imbedded in the stronger shear, which is important for shear-TC RI prediction. Full article
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<p>(<b>a</b>) The best track maximum sustained surface wind (blue, unit: m/s) and minimum central pressure curve (red, unit: hPa) for Hurricane Matthew; (<b>b</b>) the magnitude (blue line) and direction (red line) of the environmental vertical wind shear between 200 and 850 mb (the data are from SHIPs).</p>
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<p>The distribution of HODB (FL: green; SFMR: brown) and AMV (blue) observations assimilated, valid at 1800 UTC 29 Sep 2016 during Hurricane Matthew. (<b>a</b>) Horizontal distribution; (<b>b</b>) vertical distribution.</p>
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<p>Hurricane Matthew’s maximum wind forecasts for experiments 3DEV (blue line) and 4DEV (red line, described in <a href="#atmosphere-15-00395-t001" class="html-table">Table 1</a>) initialized from 18 UTC on 29 September 2016; the black line is for the intensity change of the best track.</p>
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<p>The height–distance (with TC center) profile of radial wind (contour: unit: m/s) and tangential wind (shaded, unit: m/s) for the experiments of 3DEV (<b>a</b>,<b>c</b>) and 4DEV (<b>b</b>,<b>d</b>). (<b>a</b>,<b>b</b>) Are the analysis, (<b>c</b>,<b>d</b>) are the 6 h forecast.</p>
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<p>Vmax forecasts for experiments 4DEV-thin (blue line) and 4DEV-sob (red line, described in <a href="#atmosphere-15-00395-t001" class="html-table">Table 1</a>) initialized from 18 UTC 29 September 2016 during Hurricane Matthew; the black line is for the intensity change of the best track.</p>
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<p>The height–distance (with TC center) profile of radial wind (contour: unit: m/s) and tangential wind (shaded, unit: m/s) for the experiment of 4DEV-sob. (<b>a</b>) Analysis; (<b>b</b>) 6 h forecast.</p>
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<p>The comparison between Baseline (blue line) and 4DEV-sob (red line): (<b>a</b>) the strength of upper-level outflow (unit: 10<sup>−5</sup>/s) (averaged over 500 km radius); (<b>b</b>) the strength of low-level moisture inflow (unit: 10<sup>−4</sup> g/kg.s, averaged over 500 km radius); (<b>c</b>) the number of CBs (w &gt; 3 m/s, in 200 km × 200 km × 14 km within 100 km radius). The blue line presents the experiment Baseline and the red presents the experiment 4DEV-sob.</p>
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<p>Difference of 200 hPa wind field and Vr (radial wind, shaded, unit: m/s) between the experiments 4DEV and Baseline. (<b>a</b>) Analyses (0 h); (<b>b</b>) 6 h; (<b>c</b>) 12 h.</p>
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<p>The radial wind for the experiment Baseline (<b>a</b>,<b>c</b>) and the difference of radial wind between experiments 4DEV-sob and Baseline, (<b>b</b>,<b>d</b>) in USL and DSL.</p>
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<p>The radial wind for the experiment Baseline (<b>a</b>,<b>c</b>) and the difference of radial wind between experiments 4DEV-sob and Baseline, (<b>b</b>,<b>d</b>) in USL and DSL.</p>
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<p>The moisture distribution for the experiment Baseline (<b>a</b>,<b>c</b>) and the difference of moisture between experiments 4DEV and Baseline (<b>b</b>,<b>d</b>) in USL and DSL.</p>
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<p>The moisture distribution for the experiment Baseline (<b>a</b>,<b>c</b>) and the difference of moisture between experiments 4DEV and Baseline (<b>b</b>,<b>d</b>) in USL and DSL.</p>
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<p>Vmax forecasts (<b>a</b>) and Vmax change (<b>b</b>) for 6 h intervals for 4DEV-sob (red) and Baseline (blue) initialized from 18 UTC 29 September 2016; the black line is for the best track.</p>
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<p>The vertical wind of DSL (shaded, unit: 0.1 m/s), the first row is Baseline (<b>a</b>–<b>d</b>), the second row is 4DEV-sob (<b>e</b>–<b>h</b>).</p>
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<p>The vertical wind of USL (shaded), the first row is Baseline (<b>a</b>–<b>d</b>), the second row is. 4DEV-sob (<b>e</b>–<b>h</b>).</p>
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<p>The distribution of average vertical wind (averaged over 100 km radius) in the shear-relative quadrants of experiment Baseline (<b>a</b>) and 4DEV-sob (<b>b</b>).</p>
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<p>Potential temperature (unit: K, averaged over 40 km radius) in the shear-relative quadrants of experiment Baseline (black line) and 4DEV-sob (blue line). (<b>a</b>) DSL quadrant, (<b>b</b>) DSR quadrant, (<b>c</b>) USL quadrant, (<b>d</b>) USR quadrant.</p>
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<p>The maximum wind (unit: m/s) in the shear-relative quadrants of experiment Baseline (blue line) and 4DEV-sob (red line). (<b>a</b>) DSL quadrant, (<b>b</b>) DSR quadrant, (<b>c</b>) USL quadrant, (<b>d</b>) USR quadrant.</p>
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20 pages, 34406 KiB  
Article
Sustainable Watershed Management: Assessing the Impact of Data Precision on Sediment Transport in the Oostanaula Creek Watershed, Tennessee
by Miroslav Bauer, Barbora Jáchymová, Josef Krása, Karina Bynum, John S. Schwartz and Tomáš Dostál
Sustainability 2024, 16(6), 2332; https://doi.org/10.3390/su16062332 - 12 Mar 2024
Viewed by 1031
Abstract
This study applies the WaTEM/SEDEM model, a watershed-scale model based on the Universal Soil Loss Equation (USLE), to enhance sustainable watershed management by identifying high-erosion-risk areas for targeted mitigation at various scales. It focuses on identifying potential errors in using statewide or worldwide [...] Read more.
This study applies the WaTEM/SEDEM model, a watershed-scale model based on the Universal Soil Loss Equation (USLE), to enhance sustainable watershed management by identifying high-erosion-risk areas for targeted mitigation at various scales. It focuses on identifying potential errors in using statewide or worldwide land use data layers derived from remote-sensing algorithms and inaccuracies in the spatial distribution of cropland and soil types resulting in misinterpretation of sediment yields. These model limitations emphasize the need for field validation and precise input data, particularly stream data, to improve the reliability of these models. The study examines hydrologic rainfall-runoff processes in Tennessee’s 182 km2 Oostanaula catchment using various data sources, including the National Land Cover Database (NLCD), the European Space Agency WorldCover dataset (ESA), and manual field surveys. Three modeling scenarios were evaluated, with and without stream topology corrections, using the WaTEM/SEDEM model. It details the global data used, the methodology of the field survey, the simulation and validation of data, and the critical point identification. Significant discrepancies in long-term sediment transport predictions were found, depending on the land use data source. This study addresses watershed model validity and potential errors and recommendations for the use of globally available data. Full article
(This article belongs to the Section Social Ecology and Sustainability)
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<p>Map of the Oostanaula Creek watershed study site location in East Tennessee, USA.</p>
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<p>Land use spatial resolution differences NLCD (<b>left</b>), ESA (<b>right</b>).</p>
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<p>Land use cover data source comparison for the entire Oostanaula Creek watershed per NLCD and ESA datasets.</p>
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<p>Visual comparison of land use differences—Oostanaula-Top, the study’s sub-catchment, located in the upper part of the Oostanaula Creek watershed.</p>
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<p>Land use differences based on data source for the Oostanaula-Top sub-catchment.</p>
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<p>Stream network field correction.</p>
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<p>UAV-based digital surface model for the first river section of the Oostanaula Creek formed in arable field.</p>
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<p>Defining the stream cross-section by LIDAR technology in 3 steps: (<b>A</b>) RGB 3D model of the profile; (<b>B</b>) tiled model from the processed point cloud; (<b>C</b>) final cross-section (cross-section 400 m above the outlet of Oostanaula-Top catchment).</p>
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<p>Comparison of NLCD and ESA dataset locations of critical drainage network points within the Oostanaula Creek watershed.</p>
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<p>Identification of four stream sections for further study comparisons within the Oostanaula-Top sub-catchment.</p>
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<p>Comparison of NLCD, ESA, and FIELD locations of critical stream segments in the stream network in the Oostanaula-Top catchment.</p>
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<p>Characteristic cross-sections of stream channels among different reach sections.</p>
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<p>NLCD land use on orthophoto (<b>left</b>) and ESA dataset land use (<b>right</b>) influencing model results (<b>lower left and right</b>).</p>
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<p>Time series of orthophoto images for watershed topology validation.</p>
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17 pages, 6588 KiB  
Article
Identifying and Mapping the Spatial Factors That Control Soil Erosion Changes in the Yellow River Basin of China
by Jinwei Guo, Yanbing Qi, Luhao Zhang, Jiale Zheng, Jingyan Sun, Yuanyuan Tang and Xiangyun Yang
Land 2024, 13(3), 344; https://doi.org/10.3390/land13030344 - 8 Mar 2024
Cited by 2 | Viewed by 1448
Abstract
The Yellow River Basin has been considered to have the most serious soil erosion in the world, and identifying and mapping the spatial controlling factors would be of great help in adopting targeting strategies for soil erosion prevention. This study used the Universal [...] Read more.
The Yellow River Basin has been considered to have the most serious soil erosion in the world, and identifying and mapping the spatial controlling factors would be of great help in adopting targeting strategies for soil erosion prevention. This study used the Universal Soil Loss Equation (USLE) to estimate the spatial and temporal changes in soil erosion from 1985 to 2020 and analyzed the controlling factors. The results indicated that from 1985 to 2020, the average erosion modulus in the Yellow River Basin was 1160.97 t∙km−2∙yr−1, and the erosion modulus in the middle reach was significantly greater than in the lower and upper reaches. Changes in vegetation coverage, rainfall and land use controlled 38.95%, 40.87% and 9.21% of soil erosion changes, respectively. Among them, the area in which soil erosion was decreased due to increased vegetation coverage accounted for 70.77% of the area controlled by vegetation coverage, while the area in which soil erosion was increased due to increased rainfall accounted for 86.62% of the area controlled by rainfall. These results prove the effectiveness of vegetation restoration projects in controlling soil erosion in the Yellow River Basin, but more attention needs to be paid to the impact of rainfall on soil erosion in the future. Full article
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<p>Geographical characteristics of the Yellow River Basin region.</p>
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<p>Average soil erosion intensity in the Yellow River Basin region from 1985 to 2020.</p>
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<p>Soil erosion intensity in the Yellow River Basin region from 1985 to 2020.</p>
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<p>Characteristics of soil erosion changes in the Yellow River Basin region (1985–2020): (<b>a</b>) Spatial distribution of soil erosion change rates; (<b>b</b>) Spatial distribution of significance of soil erosion changes; (<b>c</b>) Change trends of soil erosion modulus in different regions.</p>
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<p>Comparisons of area percentages for six different erosion grades in the Yellow River Basin from 1985 to 2020.</p>
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<p>Spatial–temporal change trends (<b>1</b>–<b>3</b>) and the significance of the changes (<b>4</b>–<b>6</b>) for R, C, and P factors in the USLE.</p>
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<p>Spatial distribution of the factors controlling changes in soil erosion in the Yellow River Basin region (1985–2020).</p>
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<p>Relationship between observed sediment and simulated erosion modulus.</p>
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<p>Spatial distribution of factors in the USLE that control soil erosion (2020).</p>
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<p>Change trends for fractional vegetation coverage (FVC), rainfall erosivity (R), and soil erosion modulus in the Yellow River Basin (1985–2020).</p>
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11 pages, 869 KiB  
Article
High Uterosacral Ligaments Suspension for Post-Hysterectomy Vaginal Vault Prolapse Repair
by Marta Barba, Alice Cola, Tomaso Melocchi, Desirèe De Vicari, Clarissa Costa, Silvia Volontè, Lucia Sandullo and Matteo Frigerio
Medicina 2024, 60(2), 320; https://doi.org/10.3390/medicina60020320 - 13 Feb 2024
Viewed by 1637
Abstract
Background and Objectives: Uterosacral ligaments (USLs) suspension is a well-studied, safe, and long-lasting technique for central compartment correction. Preliminary clinical experiences showed encouraging data for this technique, also for post-hysterectomy vaginal vault prolapse surgical treatment. However, up-to-date evidence for post-hysterectomy vaginal vault [...] Read more.
Background and Objectives: Uterosacral ligaments (USLs) suspension is a well-studied, safe, and long-lasting technique for central compartment correction. Preliminary clinical experiences showed encouraging data for this technique, also for post-hysterectomy vaginal vault prolapse surgical treatment. However, up-to-date evidence for post-hysterectomy vaginal vault prolapse repair through high uterosacral ligaments suspension is limited. Consequently, with this study, we aimed to assess the efficiency, complications frequency, and functional results of native-tissue repair through USLs in vaginal vault prolapse. Materials and Methods: This was a retrospective study. Women with symptomatic vaginal vault prolapse (≥stage 2) who underwent surgery with transvaginal native-tissue repair by high uterosacral ligaments were included. Patient characteristics, preoperative assessment, operative data, postoperative follow-up visits, and re-interventions were collected from the hospital’s record files. High uterosacral ligament suspension was performed according to the technique previously described by Shull. A transverse apical colpotomy at the level of the post-hysterectomy scar was performed in order to enter the peritoneal cavity. USLs were identified and transfixed from ventral to dorsal with three absorbable sutures. Sutures were then passed through the vaginal apex and tightened to close the transverse colpotomy and suspend the vaginal cuff. At the end of the surgical time, a diagnostic cystoscopy was performed in order to evaluate ureteral bilateral patency. Using the POP-Q classification system, we considered an objective recurrence as the descensus of at least one compartment ≥ II stage, or the need for a subsequent surgery for POP. The complaint of bulging symptoms was considered the item to define a subjective recurrence. We employed PGI-I scores to assess patients’ satisfaction. Results: Forty-seven consecutive patients corresponding to the given period were analyzed. No intraoperative complications were observed. We observed one postoperative hematoma that required surgical evacuation. Thirty-three patients completed a minimum of one-year follow-up (mean follow-up 21.7 ± 14.6 months). Objective cure rate was observed in 25 patients (75.8%). No patients required reintervention. The most frequent site of recurrence was the anterior compartment (21.2%), while apical compartment prolapse relapsed only in 6% of patients. An improvement in all POP-Q parameters was recorded except TVL which resulted in a mean 0.5 cm shorter. Subjective recurrence was referred by 4 (12.1%) patients. The mean satisfaction assessed by PGI-I score was 1.6 ± 0.8. Conclusion: This analysis demonstrated that native-tissue repair through high USL suspension is an effective and safe procedure for the treatment of post-hysterectomy vaginal vault prolapse. Objective, subjective, functional, and quality of life outcomes were satisfactory, with minimal complications. Full article
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<p>Surgical technique. (<b>A</b>) Apical colpotomy at the level of the scar of the previous hysterectomy; (<b>B</b>) Douglas pouch opening; (<b>C</b>) triple high uterosacral ligament transfixion (image was acquired for didactical purpose through a laparoscopic camera by vaginal route to better demonstrate the USL transfixion); (<b>D</b>) aspect after the passage of the suspending sutures through the vaginal apex, just before sutures tighten.</p>
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<p>Diagnostic cystoscopy to evaluate ureteral patency. Demonstration of the left ureteral jet.</p>
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